LuAna AI help to detect problems on chest X-rays
Official title: Evaluation of the Efficacy of Diagnostic Support Algorithms in Chest X-rays - LungAnalysis (LuAna): LuAna Stepped Wedge Trial
Run by Hospital Israelita Albert Einstein · NCT06686251 · Data updated 2026-11-12
We will test whether using LuAna, an AI tool, helps doctors find chest X-ray problems more often in adults with respiratory symptoms.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 2400 (estimated) |
| Sponsor | Hospital Israelita Albert Einstein Academic / other |
| Locations | 1 site (Curitiba, Paraná) |
| Status | Recruiting |
| Started | January 5, 2026 |
| Main results expected | October 31, 2026 |
| Study ends | December 1, 2026 |
| Registry record updated | September 16, 2026 |
| Trial ID | NCT06686251 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults (18+) who have frontal chest X-rays taken because of respiratory symptoms and are treated at participating public health centers.
✕Probably not a fit
Patients whose X-rays were taken for trauma, pre-operative evaluation, lung cancer screening, those with poor-quality images, or without a frontal view are unlikely to benefit from this intervention.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This cluster-randomized, stepped-wedge trial compares usual physician interpretation of chest X-rays to physician interpretation assisted by LuAna, an AI diagnostic support app developed by Hospital Israelita Albert Einstein. Adults presenting with respiratory complaints who have at least one frontal chest X-ray taken at participating public health centers are included, while images from trauma, pre-operative assessment, lung cancer screening, poor-quality films, or without frontal views are excluded. Sites crossover from control to intervention according to the stepped-wedge schedule so that all clusters eventually use the AI tool, and outcomes are measured as detection rates of predefined radiographic findings such as consolidation, pleural effusion, pneumothorax, lung injury, and cardiomegaly. The trial is multicenter within the public health system and aims to validate LuAna across a diverse demographic before broader implementation.
Why it matters
Potential benefit: If successful, LuAna could increase detection of important chest X-ray findings, speed up diagnosis, and improve patient safety and timeliness of care.
How similar studies have gone: Previous research on AI tools for chest x-ray interpretation has shown promising improvements in detection in some settings but results have varied and large-scale, real-world validation remains limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Non-reported chest X-rays (XRts) of individuals aged over 18 years. * Individuals images with respiratory complaints. * Chest X-rays taken during the presence of these respiratory symptoms or while being followed up for respiratory disease. * Chest X-rays taken on any X-ray machine. * Chest X-rays that include at least one frontal view of the chest. Exclusion Criteria: * Those whose chest X-ray was performed due to a history of trauma, pre-operative risk assessment, lung cancer screening, or exclusively for verifying the correct positioning of a peripheral intravenous catheter (PICC). * Chest X-rays with technical quality below the minimum required for proper interpretation and diagnosis. * Cases without at least one frontal view. * X-rays printed on regular paper.
Where it's running
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FEAS Curitiba
Curitiba, Paraná, Brazil Recruiting
Study contacts
- Principal investigator: Joselisa Paiva, PhD — Hospital Israelita Albert Einstein
- Study coordinator: Joselisa Paiva, PhD
- Email: joselisa.paiva@einstein.br
- Phone: +55 (11) 9981667340
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.